Color image processing method, color image processor, color display, computer program for implementing the color image processing method
Summary by NHIP
Saturation Contrast Enhancement Processor
The processor detects pixel saturation and reduces values below a predetermined threshold using a non-linear function. This method automatically extracts saturation distributions to determine thresholds that enlarge differences between low and high saturation areas.
Claim Score by NHIP
Abstract
A saturation detecting means (200) detects saturation at every pixel in a digital color image or at every coordinate point in an analog color image. A saturation conversion control means (300) determines the saturation conversion condition for the pixel or coordinate point based on the detected saturation. A saturation conversion processing means (400) implements saturation conversion in such a manner that saturation is reduced for the areas with low saturations in the color image, so as to enlarge the difference in saturation relative to the areas with high saturations, thus achieving improved saturation contrast. Further, the distribution of saturations in the input image is automatically extracted, so as to determine the threshold for deciding a saturation suppressed area based on the distribution of saturations. In this way, in order to obtain a color image improved in vividness and presenting feeling of sharpness, the saturation contrast is automatically improved.

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Term ended
Expired 24 October 2024, 1.9 years ago.
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24 claims: 12 independent, 12 dependent
- 1A color image processor comprising:a saturation detecting section for detecting saturation at every pixel in a digital color image or at every coordinate point in an analog color image;and a saturation conversion processing section for converting the saturation at a pixel or at a coordinate point by using a non-linear function which implements a saturation reduction, when the saturation detected by the saturation detecting section at the pixel or the coordinate point is smaller than a predetermined threshold.
- 2A color image processor comprising:a saturation detecting section for detecting saturation at every pixel in a digital color image or at every coordinate point in an analog color image;and a saturation conversion processing section for converting the saturation at a pixel or at a coordinate point by implementing a saturation reduction, when the saturation detected by the saturation detecting section at the pixel or the coordinate point is smaller than a predetermined threshold, wherein the threshold is a value that can be set arbitrarily.
- 3A color image processor comprising:a saturation detecting section for detecting saturation at every pixel in a digital color image or at every coordinate point in an analog color image;and a saturation conversion processing section for converting the saturation at a pixel or coordinate point by implementing a saturation reduction, when the saturation detected by the saturation detecting section at the pixel or the coordinate point is smaller than a predetermined threshold, wherein the threshold is determined based on an input designated by a user.
- 4A color image processor comprising:a saturation detecting section for detecting saturation at every pixel in a digital color image or at every coordinate point in an analog color image;and a saturation conversion processing section for converting saturation at a pixel or at a coordinate point by implementing a saturation reduction, when the saturation detected by the saturation detecting section at the pixel or the coordinate point is smaller than a predetermined threshold, wherein the threshold is determined based on a distribution of saturations at a plurality of pixels or at coordinate points included in a predetermined area.
- 12A color image processing method, comprising:detecting saturation at every pixel in a digital color image or at every coordinate point in an analog color image;and converting saturation at a pixel or at a coordinate point by using a non-linear function which implements a saturation reduction, when the saturation detected at the pixel or at the coordinate point is smaller than a predetermined threshold.
- 13Broadest claimClaim Score 75, broad(NHIP)A color image processing method, comprising:detecting saturation at every pixel in a digital color image or at every coordinate point in an analog color image;and converting saturation at a pixel or at a coordinate point by implementing a saturation reduction, when the saturation detected at the pixel or at the coordinate point is smaller than a predetermined threshold, wherein the threshold is a value that can be set arbitrarily.
- 14A color image processing method, comprising:detecting saturation at every pixel in a digital color image or at every coordinate point in an analog color image;and converting saturation at a pixel or at a coordinate point by implementing a saturation reduction, when the saturation detected at the pixel or at the coordinate point is smaller than a predetermined threshold, wherein the threshold is determined based on an input designated by a user.
- 15A color image processing method, comprising:detecting saturation at every pixel in a digital color image or at every coordinate point in an analog color image;and converting saturation at a pixel or at a coordinate point by implementing a saturation reduction, when the saturation detected at the pixel or at the coordinate point is smaller than a predetermined threshold, wherein the threshold is determined based on a distribution of saturations at a plurality of pixels or at coordinate points included in a predetermined area.
- 21A computer program residing on a computer readable medium including a set of instructions, executed by a processor, for realizing a color image processing method, the method including:detecting saturation at every pixel in a digital color image or at every coordinate point in an analog color image;and converting saturation at a pixel or at a coordinate point by using a non-linear function which implements a saturation reduction, when the saturation detected at the pixel or at the coordinate point is smaller than a predetermined threshold.
- 22A computer program residing on a computer readable medium including a set of instructions, executed by a processor, for realizing a color image processing method, the method comprising:detecting saturation at every pixel in a digital color image or at every coordinate point in an analog color image;and converting saturation at a pixel or at a coordinate point by using a non-linear function which implements a saturation reduction, when the saturation detected at the pixel or at the coordinate point is smaller than a predetermined threshold, wherein the threshold is a value that can be set arbitrarily.
- 23A computer program residing on a computer readable medium including a set of instructions, executed by a processor, for realizing a color image processing method, the method comprising:detecting saturation at every pixel in a digital color image or at every coordinate point in an analog color image;and converting saturation at a pixel or at a coordinate point by using a non-linear function which implements a saturation reduction, when the saturation detected at the pixel or at the coordinate point is smaller than a predetermined threshold, wherein the threshold is determined based on an input designated by a user.
- 24A computer program residing on a computer readable medium including a set of instructions, executed by a processor, for realizing a color image processing method, the method comprising:detecting saturation at every pixel in a digital color image or at every coordinate point in an analog color image;and converting saturation at a pixel or at a coordinate point by using a non-linear function which implements a saturation reduction, when the saturation detected at the pixel or at the coordinate point is smaller than a predetermined threshold, wherein the threshold is determined based on a distribution of saturations at a plurality of pixels or at coordinate points included in a predetermined area.
Independent claims12
186 paragraphs in 4 sections, as filed
0001This application is the national phase under 35 U.S.C. § 371 of PCT International Application No. PCT/JP02/11525 which has an International filing date of Nov. 5, 2002, which designated the United States of America.
0002This nonprovisional application claims priority under 35 U.S.C. § 119(a) on Patent Application No. 2001-339717 filed in JAPAN on Nov. 5, 2001, which is herein incorporated by reference.
DESCRIPTION
00031. Technical Field
0004The present invention relates to a color image processing method, a color image processor and a color display, for increasing the feeling of depth and the feeling of sharpness, etc., of a color image, as well as relating to a computer program for implementing the color image processing method.
00052. Background Art
0006Conventionally, in image output devices such as displays, printers and others there are cases where saturation is enhanced in order to make the image more vivid than appearance to the eye. Such saturation emphasis techniques are often used in order to make the output closer to the saturation of the original image when images such as TV images, images captured by scanner etc., which tend to become lower in saturation than their original images are to be handled.
0007As an example of saturation emphasis technique, an appropriate coefficient α (α>1) is determined so as to multiply the original saturation by α.
0008According to this technique, both the areas with low saturations and the areas with high saturations are uniformly multiplied by α, so as to provide a bright image with the saturation of the whole image improved. When in this technique the coefficient αis set to be lower than 1, it is possible to provide a saturation reducing function of lowering the saturation of the image as a whole.
0009As an example, Japanese Patent Application Laid-open Hei No. 5-205039 proposes a color image processing method in which pixels with saturations equal to or greater than a certain threshold a are enhanced in saturation while pixels with saturations equal to or lower than a are not converted.
0010As another example, Japanese Patent Application Laid-open Hei No.8-329217 proposes a saturation converting method in which a RGB or CMY image is converted into image data in a uniform color space so as to determine a proper coefficient α (α>1) depending on the spread of saturations, whereby saturation is multiplied by a in the uniform color space.
0011On the other hand, for transmission type displays using liquid crystal or the like, which are less efficient in color reproducibility compared to CRTs, methods of improving color reproducibility have been proposed. For example, Japanese Patent Application Laid-open Hei 7 No. 253577 proposes a color display which can realize higher color saturation and color reproducibility compared to conventional liquid crystal displays by using color filters that can make the peak wavelengths within the transmission wavelength ranges of individual color elements approximately coincide with respective peak wavelengths of the LED backlight light source.
0012However, in the aforementioned method disclosed in Japanese Patent Application Laid-open Hei 5 No. 205039, areas with higher saturations are further enhanced, so that an image containing a high proportion of high saturation areas is reproduced as a whole with colors close to garish colors, resulting in an unnatural image.
0013In the method disclosed in Japanese Patent Application Laid-open Hei 8 No. 329217, since areas with low saturations and areas with high saturations are uniformly multiplied, the distribution of saturations is shifted as a whole to the higher saturation areas, hence this method cannot use the saturation dynamic range in an efficient manner. For example, if the saturation distribution of an original image that is represented by the thick solid line in <figref idref="DRAWINGS">FIG. 1</figref> is subjected to saturation emphasis by multiplying saturation by a coefficient α (α>1), the distribution of the enhanced image is shifted to that indicated by the broken line.
0014Further, the distribution of saturations after the saturation emphasis concentrates on a particular range in the dynamic range, so that there is room for improvement of saturation contrast.
0015On the other hand, in the above-mentioned color display which is excellent in color reproducibility disclosed in Japanese Patent Application Laid-open Hei 7 No. 253577, the color reproducible range can be broadened, so that the saturation of the whole display image becomes higher, hence the problem of failing to obtain appropriate images takes place. The cause of this will be described with reference to <figref idref="DRAWINGS">FIGS. 19 and 20</figref>.
0016In <figref idref="DRAWINGS">FIG. 19</figref>, the solid line represents an example of the color reproduction range of a color display that is excellent in color reproducibility and the broken line represents an example of the color reproduction range of an ordinary transmission type color display. The thick solid line in <figref idref="DRAWINGS">FIG. 19</figref> is the spectral locus. As the color reproduction range broadens, it becomes possible to display colors which are greater in distance from the white point W in the xy chromaticity diagram in <figref idref="DRAWINGS">FIG. 19</figref>, i.e., more vivid colors of higher saturation.
0017However, when color reproducibility is improved by refinement of the spectrum of the light source and color filters as proposed in Japanese Patent Application Laid-open Hei 7 No. 253577, the number of gray scale levels and the gray scale distance cannot be changed. As a result, a color having the same gray scale level as that in an ordinary transmission type color display is represented to be higher in saturation.
0018<figref idref="DRAWINGS">FIG. 20</figref> represents a relationship between gray scale and saturation. In <figref idref="DRAWINGS">FIG. 20</figref>, the broken line represents one example of the change of saturation when one of the RGB colors is changed from 0 to 255, the maximum gray scale level, being normalized with the maximum saturation set equal to 1, in a case of an ordinary 24 bit RGB transmission type color display. The solid line represents the change of saturation with respect to the gray scale level when the saturation maximum is increased by 1.2 times by a color reproducibility enhancing means. With the same number of gray scale levels and the same gray scale distance, the amount of saturation depicted by the solid line exceeds that of the broken line, across the full range of the gray scale levels.
0019As a result, if an image which looks good on an ordinary transmission type color display is reproduced by a color display that is excellent in color reproducibility, the problem that the flesh color, for example, is increased in saturation and reproduced as an orange-like color takes place.
0020The present invention has been proposed in view of the above circumstances, the first object is to provide a color image processing method, a color image processor and a computer program for realizing the color image processing method, which can improve saturation contrast and reduce the user's burden on the adjustment of saturation contrast.
0021Further, the second object is to obtain good displayed images in a conventional transmission type color display excellent in color reproducibility.
SUMMARY OF THE INVENTION
0022In order to achieve the above objects, the color image processing method, the color image processor and the computer program for realizing the color image processing method according to the present invention are characterized as follows.
0023Specifically, the present invention is a color image processing method for detecting saturation at every pixel in a digital color image or at every coordinate point in an analog color image and controlling saturation conversion of the pixel or coordinate point based on the detected saturation, wherein saturation is reduced for a pixel or coordinate point at which the detected saturation is smaller than a predetermined threshold.
0024In the above color image processing method, saturation may be enhanced for a pixel or coordinate point at which the detected saturation is greater than a predetermined threshold.
0025In the above color image processing method, the predetermined threshold can be designated by a user.
0026In the above color image processing method, the predetermined threshold may be determined based on a distribution of saturations in a predetermined area of the image to be converted.
0027In the above color image processing method, when determining the predetermined threshold, the user can designate, at least, the number or ratio of the pixels or coordinate points having saturation equal to or smaller than the threshold, based on the detected distribution of saturations.
0028The present invention is a color image processor comprises: a saturation detecting means for detecting saturation at every pixel in a digital color image or at every coordinate point in an analog color image; a saturation conversion control means for determining a saturation conversion condition for the pixel or coordinate point based on the saturation detected by the saturation detecting means; and a saturation conversion processing means for implementing saturation conversion based on the saturation conversion condition determined by the saturation conversion control means, wherein the saturation conversion control means reduces saturation for a pixel or coordinate point at which the detected saturation by the saturation detecting means is smaller than a predetermined threshold.
0029In the above color image processor, the saturation conversion control means may enhance saturation at a pixel or coordinate point at which the detected saturation by the saturation detecting means is greater than a predetermined threshold.
0030The present invention is a color image processor comprises: a saturation detecting means for detecting saturation at every pixel in a digital color image or at every coordinate point in an analog color image; a saturation conversion control means for determining the saturation conversion condition for the pixel or coordinate point based on the saturation detected by the saturation detecting means; a saturation conversion processing means for implementing saturation conversion based on the saturation conversion condition determined by the saturation conversion detecting means; and a threshold designating means for designating the threshold based on the user's operation, wherein the saturation conversion control means reduces saturation at a pixel or coordinate point at which the detected saturation by the saturation detecting means is smaller than the threshold designated by the threshold designating means.
0031In the above color image processor, the saturation conversion control means may enhance saturation at a pixel or coordinate point at which the detected saturation is greater than the threshold designated by the threshold designating means.
0032The present invention is a color image processor comprises: a saturation detecting means for detecting saturation at every pixel in a digital color image or at every coordinate point in an analog color image; a saturation conversion control means for determining a saturation conversion condition for the pixel or coordinate point based on the saturation detected by the saturation detecting means; a saturation conversion processing means for implementing saturation conversion based on the saturation conversion condition determined by the saturation conversion control means; a buffer for accumulating the saturations detected by the saturation detecting means and input image data; and a threshold determining means for determining a threshold based on a distribution of saturations detected by the saturation detecting means.
0033The present invention is a color image processor comprises: a saturation detecting means for detecting saturation at every pixel in a digital color image or at every coordinate point in an analog color image; a saturation conversion control means for determining a saturation conversion condition for the pixel or coordinate point based on the saturation detected by the saturation detecting means; a saturation conversion processing means for implementing saturation conversion based on the saturation conversion condition determined by the saturation conversion control means; a buffer for accumulating the saturation detected by the saturation detecting means and input image data; a threshold determining means for determining a threshold based on a distribution of saturations detected by the saturation detecting means; and a pixel/coordinate point count designating means which allows a user to designate a number of pixels or coordinate points to be not greater than the threshold determined by the threshold determining means, and passes the number to the threshold determining means.
0034The present invention is a color image processor comprises: a saturation detecting means for detecting saturation at every pixel in a digital color image or at every coordinate point in an analog color image; a saturation conversion control means for determining a saturation conversion condition for the pixel or coordinate point based on the saturation detected by the saturation detecting means; a saturation conversion processing means for implementing saturation conversion based on the saturation conversion conditions determined by the saturation conversion control means; a buffer for accumulating the saturation detected by the saturation detecting means and input image data; a threshold determining means for determining a threshold based on a distribution of saturations detected by the saturation detecting means; and a pixel/coordinate point ratio designating means which allows a user to designate a ratio of pixels or coordinate points to be not greater than the threshold determined by the threshold determining means, and passes the ratio to the threshold determining means.
0035The present invention is a computer program for realizing a function of detecting saturation at every pixel in a digital color image or at every coordinate point in an analog color image and controlling saturation conversion of the pixel or coordinate point based on the detected saturation, wherein a function of reducing saturation at a pixel or coordinate point at which the detected saturation is smaller than a predetermined threshold is added.
0036In the above computer program, a function of enhancing saturation at a pixel or coordinate point at which the detected saturation is greater than a predetermined threshold may be added.
0037In the above computer program, a function of allowing a user to designate the predetermined threshold may be added.
0038In the above computer program, a function of determining the predetermined threshold based on a distribution of saturations in a predetermined area of the image to be converted may be added.
0039In the above computer program, a function of allowing a user, when determining the predetermined threshold, to designate at least one of a number and ratio of the pixels or coordinate points having saturation equal to or smaller than the threshold, based on the detected distribution of saturations may be added.
0040A color display according to the present invention includes a color image processor comprising: a saturation detecting means for detecting saturation at every pixel in a digital color image or at every coordinate point in an analog color image; a saturation conversion control means for determining a saturation conversion condition for the pixel or coordinate point based on the saturation detected by the saturation detecting means; and a saturation conversion processing means for implementing saturation conversion based on the saturation conversion condition determined by the saturation conversion control means, wherein the saturation conversion control means reduces saturation for a pixel or coordinate point at which the detected saturation by the saturation detecting means is smaller than a predetermined threshold.
0041In the above color display, the saturation conversion control means may enhance saturation at a pixel or coordinate point at which the detected saturation by the saturation detecting means is greater than a predetermined threshold.
0042A color display according to the present invention includes a color image processor comprising: a saturation detecting means for detecting saturation at every pixel in a digital color image or at every coordinate point in an analog color image; a saturation conversion control means for determining the saturation conversion condition for the pixel or coordinate point based on the saturation detected by the saturation detecting means; a saturation conversion processing means for implementing saturation conversion based on the saturation conversion condition determined by the saturation conversion detecting means; and a threshold designating means for designating a threshold based on the user's operation, wherein the saturation conversion control means reduces saturation at a pixel or coordinate point at which the detected saturation by the saturation detecting means is smaller than the threshold designated by the threshold designating means.
0043In the above color display, the saturation conversion control means may enhance saturation at a pixel or coordinate point at which the detected saturation is greater than the threshold designated by the threshold designating means.
0044A color display according to the present invention includes a color image processor comprising: a saturation detecting means for detecting saturation at every pixel in a digital color image or at every coordinate point in an analog color image; a saturation conversion control means for determining a saturation conversion condition for the pixel or coordinate point based on the saturation detected by the saturation detecting means; a saturation conversion processing means for implementing saturation conversion based on the saturation conversion condition determined by the saturation conversion control means; a buffer for accumulating the saturation detected by the saturation detecting means and input image data; and a threshold determining means for determining a threshold based on a distribution of saturations detected by the saturation detecting means.
0045A color display according to the present invention includes a color image processor comprising: a saturation detecting means for detecting saturation at every pixel in a digital color image or at every coordinate point in an analog color image; a saturation conversion control means for determining a saturation conversion condition for the pixel or coordinate point based on the saturation detected by the saturation detecting means; a saturation conversion processing means for implementing saturation conversion based on the saturation conversion condition determined by the saturation conversion control means; a buffer for accumulating the saturation detected by the saturation detecting means and input image data; a threshold determining means for determining a threshold based on a distribution of saturations detected by the saturation detecting means; and a pixel/coordinate point count designating means which allows a user to designate a number of pixels or coordinate points to be not greater than the threshold determined by the threshold determining means, and passes the number to the threshold determining means.
0046A color display according to the present invention includes a color image processor comprising: a saturation detecting means for detecting saturation at every pixel in a digital color image or at every coordinate point in an analog color image; a saturation conversion control means for determining a saturation conversion condition for the pixel or coordinate point based on the saturation detected by the saturation detecting means; a saturation conversion processing means for implementing saturation conversion based on the saturation conversion condition determined by the saturation conversion control means; a buffer for accumulating the saturation detected by the saturation detecting means and input image data; a threshold determining means for determining a threshold based on a distribution of saturations detected by the saturation detecting means; and a pixel/coordinate point ratio designating means which allows a user to designate a ratio of pixels or coordinate points to be not greater than the threshold determined by the threshold determining means, and passes the ratio to the threshold determining means.
0047Thus, the color image processing method, the color image processor and the computer program for realizing the color image processing method according to the present invention have the above configurations, and have the effects as follows.
0048Specifically, according to the color image processing method and the color image processor of the present invention, saturation is detected at every pixel so as to effect saturation suppression for the areas with low saturations, whereby it is possible to produce a good color image with enhanced feeling of depth and feeling of sharpness.
0049Next, according to the color image processing method and the color image processor of the present invention, saturation is detected at every pixel so as to effect saturation suppression for the areas with low saturations and saturation enhancement for the areas with high saturations, whereby it is possible to produce a color image which presents a feeling of depth and a feeling of sharpness and a sufficient saturation contrast.
0050Further, according to the color image processing method and the color image processor of the present invention, provision of the threshold designating means enables the user to designate the desired threshold. Therefore, the user is able to modify the parameter for the conversion equation in an appropriate manner while watching the image displayed on a display such as a display monitor, whereby it is possible to produce a color image presenting a feeling of depth and a feeling of sharpness that are suited to the user's taste. It is also possible to provide a color image presenting a saturation contrast that is suited to the user's taste.
0051According to the color image processing method and the color image processor of the present invention, a buffer for accumulating the RGB signal for a predetermined area and saturation information and a threshold determining means for determining the suitable threshold based on the saturation inside the predetermined area are provided. Thereby, the distribution of saturations in the input image is automatically extracted so that the threshold for deciding the saturation suppressed area is determined based on the distribution of saturations, whereby it is possible to automatically produce a good color image presenting an enhanced feeling of depth and feeling of sharpness with a sufficient saturation contrast.
0052According to the color image processing method and the color image processor of the present invention, provision of a pixel/coordinate point count designating means or pixel/coordinate point ratio designating means enables the user to designate the desired ratio of pixels/coordinate points to be converted, and the like. Therefore, it is possible to automatically produce a color image which presents beneficial saturation contrast and is suited to the user's taste with an enhanced feeling of depth and sharpness.
0053Moreover, according to the computer program of the present invention, the above-described effects can be obtained by realizing the above color image processors and color image processing methods.
0054Moreover, according to the color display of the present invention, provision of the above-described color image processor for a transmission type color display which is more excellent in color reproducibility than conventional transmission type color displays, can produce the effects stated above and provide a natural, favorable, color image with saturation enhancement of medium colors such as flesh color suppressed.
BRIEF DESCRIPTION OF THE DRAWINGS
0055<figref idref="DRAWINGS">FIG. 1</figref> is an illustrative view showing a distribution of saturations.
0056<figref idref="DRAWINGS">FIG. 2</figref> is an illustrative view showing a process of detecting saturation.
0057<figref idref="DRAWINGS">FIG. 3</figref> is an illustrative view showing a displayable color range in the RGB space.
0058<figref idref="DRAWINGS">FIG. 4</figref> is an illustrative view showing the arrangement rule of object colors in a 3-dimensional space.
0059<figref idref="DRAWINGS">FIG. 5</figref> is an illustrative view showing cut points in R, G and B.
0060<figref idref="DRAWINGS">FIG. 6</figref> is a block diagram showing an overall configuration of a color image processor according to the first embodiment of the present invention.
0061<figref idref="DRAWINGS">FIG. 7</figref> is a block diagram showing an overall configuration of a color image processor according to the third embodiment of the present invention.
0062<figref idref="DRAWINGS">FIG. 8</figref> is a block diagram showing an overall configuration of a color image processor according to the fifth embodiment of the present invention.
0063<figref idref="DRAWINGS">FIG. 9</figref> is a block diagram showing an overall configuration of a color image processor according to the sixth embodiment of the present invention.
0064<figref idref="DRAWINGS">FIG. 10</figref> is a block diagram showing an overall configuration of a color image processor according to the seventh embodiment of the present invention.
0065<figref idref="DRAWINGS">FIG. 11</figref> is an illustrative view showing a saturation conversion curve in a color image processor according to the second embodiment of the present invention.
0066<figref idref="DRAWINGS">FIG. 12</figref> is an illustration of an allocation example of a variable f.
0067<figref idref="DRAWINGS">FIG. 13</figref> is an illustrative view showing a hexagonal section of the displayable color range in the RGB space.
0068<figref idref="DRAWINGS">FIG. 14</figref> is an illustrative view showing the straight line K-W of achromatic colors in the displayable color range in the RGB space is adapted to coincide with the achromatic axis of object colors in the 3-dimetnional space.
0069<figref idref="DRAWINGS">FIG. 15</figref> is an illustrative view showing a saturation conversion curve in a color image processor according to the first embodiment of the present invention.
0070<figref idref="DRAWINGS">FIG. 16</figref> is a block diagram showing an overall configuration of a color image processor according to the second embodiment of the present embodiment.
0071<figref idref="DRAWINGS">FIG. 17</figref> is a block diagram showing an overall configuration of a color image processor according to the fourth embodiment of the present embodiment.
0072<figref idref="DRAWINGS">FIG. 18</figref> is a schematic diagram showing an overall configuration of a color image processor according to the eighth embodiment of the present embodiment.
0073<figref idref="DRAWINGS">FIG. 19</figref> is an illustrative view showing an example of reproducible color ranges of a conventional transmission type color display and a color display excellent in color reproduction.
0074<figref idref="DRAWINGS">FIG. 20</figref> is an illustrative view showing examples of the relationship between gray scale and saturation for a conventional transmission type color display and a color display excellent in color reproduction.
0075<figref idref="DRAWINGS">FIG. 21</figref> is a view showing an overall configuration of a color display according to the ninth embodiment of the present invention.
0076<figref idref="DRAWINGS">FIG. 22</figref> is an illustrative view showing examples of the relationship between gray scale and saturation for a conventional transmission type color display, a color display excellent in color reproduction, and a color display according to the ninth embodiment of the present invention.
0077<figref idref="DRAWINGS">FIG. 23</figref> is a block diagram showing an overall configuration of a color display according to the ninth embodiment of the present invention.
DETAILED DESCRIPTION OF THE INVENTION
0078Referring now to the drawings, the embodiments of the color image processing method, color image processor and computer program for realizing the color image processing method according to the present invention will be described.
0000The first embodiment
0079To begin with, a color image processor and a color image processing method according to the first embodiment of the present invention will be described.
0080<figref idref="DRAWINGS">FIG. 6</figref> is a block diagram showing an overall configuration of a color image processor according to the first embodiment of the present invention.
0081The color image processor <b>100</b> according to the first embodiment includes: as shown in <figref idref="DRAWINGS">FIG. 6</figref>, a saturation detecting means <b>200</b>, a saturation conversion control means <b>300</b> and a saturation conversion processing means <b>400</b>.
0082Saturation detecting means <b>200</b> detects the saturation C that is normalized by the following process, for example, from the RGB signal of an original color image, and outputs it.
0083Specifically, for the RGB signal of an original color image, the saturation C in the 3-dimensional space defined along the axes of the three signals is considered. As shown in <figref idref="DRAWINGS">FIG. 3</figref>, in the displayable color range in the RGB space, achromatic colors, white, black and gray, all resides in the straight line K-W, and becomes gradually brighter from point K to point W, or from black to white.
0084As shown in <figref idref="DRAWINGS">FIG. 4</figref>, in the 3-D space of object color, the saturation is represented as the distance from the achromatic axis extending from black to white, in the direction perpendicular thereto. This concept of saturation shall be applied to the displayable color range in RGB space.
0085<figref idref="DRAWINGS">FIG. 14</figref> is a drawing in which the achromatic color line K-W in the displayable color range in the RGB space is made coincident with the achromatic axis of the 3-D space of object color. The colors that are actually displayable exist only inside the cube shown in <figref idref="DRAWINGS">FIG. 14</figref>. Based on <figref idref="DRAWINGS">FIG. 14</figref>, the saturation is defined as the distance from the line K-W and is normalized by the contour of the color solid.
0086<figref idref="DRAWINGS">FIG. 2</figref> is an illustration for explaining the method of normalization, and is a section when <figref idref="DRAWINGS">FIG. 3</figref> is cut along the plane including R, G and B.
0087In <figref idref="DRAWINGS">FIG. 5</figref>, when the displayable color range in the RGB space is cut along the lines of the cutting plane, depicted by the thick line, the cutting plane of <figref idref="DRAWINGS">FIG. 2</figref> can be obtained. Now, description will be made of a case where the normalized saturation C as to a point A (r,g,b) on the plane of <figref idref="DRAWINGS">FIG. 2</figref> is determined.
0088A line joining between the point W′ on the achromatic axis within the plane of <figref idref="DRAWINGS">FIG. 2</figref> and point A is extended in the direction from point W′ to point A, and the point at which the line intersects the contour of the RGB color solid is called point A′. The distance between point A′ and point W′ is called l and the distance between point W′ and point A is called h, and the normalized saturation C is defined by the following expression: <br /><i>C=h/l </i> (1)
0089If the coordinates of point W′ are represented by (rw′, gw′, bw′), rw′=gw′=bw′ and rw′+gw′+bw′=r+g+b. From this, the following equation (2) holds <br /><i>rw′=gw′=bw′=</i>(<i>r+g+b</i>)/3 (2)
0090From the above, for an arbitrary RGB signal, the coordinates of the intersection W′ between the perpendicular to the achromatic axis line K-W on the variable display area and the line K-W can be obtained. The distance h between an arbitrary point A and point W′ can be calculated based on the parameters (r,g,b) of point A, by the following equation (3): <br /><i>h=[{</i>(2<i>r−g−b</i>)/3)<sup>2</sup>+{(2<i>g−r−b</i>)/3)<sup>2</sup>+{(2<i>b−r−g</i>)/3}<sup>2</sup>]<sup>1/2 </sup> (3)
0091Incidentally, an arbitrary point A can exist at any position inside the displayable color range in the RGB space. Though the above method was described taking an example in which an arbitrary point A exists on the cutting plane, cut by the lines joining R, G and B, there are cases where an arbitrary point A exists on a hexagonal cutting plane as shown in <figref idref="DRAWINGS">FIG. 13</figref>. <figref idref="DRAWINGS">FIG. 14</figref> shows a hexagon similar to <figref idref="DRAWINGS">FIG. 13</figref> with dotted line.
0092The contour of the plane shown in <figref idref="DRAWINGS">FIG. 2</figref> is contained within planes R=0, G=0 or B=0. On the other hand, the contour of the hexagon shown in <figref idref="DRAWINGS">FIG. 13</figref> is contained within any of six planes, i.e., those above and added three planes, R=1, G=1 and B=1. These, R=1, G=1 and B=1, represent normalized signal values. For example, for a case of 24 bit RGB signal, these six planes correspond to R=0, G=0, B=0, R=255, G=255 and B=255. The intersections of the straight line passing point A and point W′ with these six planes are determined. The closest point on the extension of the line W′-A is called A′, and the distance between point A′ and point W′ can be obtained as 1. In this way, the saturation C can be determined from the RGB signal.
0093Of the six planes constituting the contour of the displayable color area in the RGB space, a variable f that represents the plane which contains point A′ is passed together with the saturation C to saturation conversion control means <b>300</b>. Variable f is determined as shown in <figref idref="DRAWINGS">FIG. 12</figref>, for example.
0094Saturation conversion control means <b>300</b>, based on the saturation C given from saturation detecting means <b>200</b> and a predetermined threshold α, calculates the value of saturation C′ after conversion and passes it to saturation conversion processing means <b>400</b>. The saturation C before conversion and the saturation C′ after conversion are related by the following equation (4), and the function for conversion F(x) is represented in the form of the following equation (5), for example, depending on the threshold α: <br /><i>C′=F</i>(<i>C</i>) (4)<br /><i>F</i>(<i>x</i>)=<i>X</i><sup>2</sup>+(<i><b>1</b></i>-α)<i>x </i>when <i>x</i>≦α<br /><i>F</i>(<i>x</i>)=<i>x </i>when α<<i>x </i> (5)
0095<figref idref="DRAWINGS">FIG. 15</figref> shows a graph relating to equation (5).
0096Because equation (5) consists of addition and multiplication only, saturation conversion control means <b>300</b> can be simply realized by combination of adders and multipliers when it is configured by hardware. Realization of saturation conversion control means <b>300</b> by software is more simple, that is, it is achieved by merely substituting x by a given value of saturation C in equation (5). The converting equation F(x) used in saturation conversion control means <b>300</b> does not need to take the form of equation (5) as long as conversion is implemented so that C′≦C for the areas where saturation is lower than the threshold. Further, saturation conversion control means <b>300</b> does not perform any particular process over the variable f that is noticed by saturation detecting means <b>200</b> but simply outputs it to the saturation conversion processing means as it is.
0097Saturation conversion processing means <b>400</b> converts the RGB signal of the original color image in conformity with the saturation C after conversion, which is given by saturation conversion control means. Conversion of the RGB signal is carried out by the following method, for example.
0098Expressions (7) to (9) show the converting equations for a case when R+G+B≦255 and Min(R,G,B)=R. Min(R,G,B) represents the minimum value of the three signal values of R, G and B, at each pixel/coordinate point of the original color image. In the following equations, Av(R,G,B) represents the average of the same three signal values of R, G and B as the above. <br /><i>R′=</i>(1−<i>C′</i>)×<i>Av</i>(<i>R,G,B</i>) (7)<br /><i>G′=[</i>1−{<i>G−Av</i>(<i>R,G,B</i>)}/{<i>R−Av</i>(<i>R,G,B</i>)}<i>×C′]×Av</i>(<i>R,G,B</i>) (8)<br /><i>B′=[</i>1−{<i>B−Av</i>(<i>R,G,B</i>)}/{<i>R−Av</i>(<i>R,G,B</i>)}<i>×C′]×Av</i>(<i>R,G,B</i>) (9)
0099Though the derivation method is abbreviated, these are equations corresponding to conversion of h/l into h′/l=C′ in <figref idref="DRAWINGS">FIG. 2</figref>. These equations represent a case where the perpendicular line from the achromatic color line K-W to a point of data in the displayable color range in the RGB space, cuts through the contour R=O in the displayable color range. The cases of Min (R,G,B)=G and Min (R,G,B)=B are similarly represented respectively by <br /><i>R′=[</i>1−{<i>R−Av</i>(<i>R,G,B</i>)}/{<i>G−Av</i>(<i>R,G,B</i>)}×<i>C′]×Av</i>(<i>R,G,B</i>) (10)<br /><i>G′=</i>(1−<i>C′</i>)×<i>Av</i>(<i>R,G,B</i>) (11)<br /><i>B′=[</i>1−{<i>B−Av</i>(<i>R,G,B</i>)}/{<i>G−Av</i>(<i>R,G,B</i>)}×<i>C′]×Av</i>(<i>R,G,B</i>) (12)<br /> and <br /><i>R′=[</i>1−{<i>R−Av</i>(<i>R,G,B</i>)}/{<i>B−Av</i>(<i>R,G,B</i>)}×<i>C′]×Av</i>(<i>R,G,B</i>) (13)<br /><i>G′=[</i>1−{<i>G−Av</i>(<i>R,G,B</i>)}/{<i>B−Av</i>(<i>R,G,B</i>)}×<i>C′]×Av</i>(<i>R,G,B</i>) (14)<br /><i>B′=</i>(1−<i>C′</i>)×<i>Av</i>(<i>R,G,B</i>) (15)
0100On the other hand, when the perpendicular line from the achromatic color line K-W cuts through the contour R=255, G=255 or B=255 in the displayable color range, the conditions are represented by Max(R,G,B)=R, Max(R,G,B)=G and Max(R,G,B)=B, respectively, and the equations of conversion are given as follows, respectively. Here, Max(R,G,B) represents the maximum value of the three signal values of R, G and B, at each pixel/coordinate point of the original color image.
0101When Max(R,G,B)=R, <br /><i>R′=</i>(1−<i>C′</i>)×<i>Av</i>(<i>R,G,B</i>)+255×<i>C′</i> (16)<br /><i>G′=[</i>1−{<i>G−Av</i>(<i>R,G,B</i>)}/{<i>R−Av</i>(<i>R,G,B</i>)}×<i>C′]×Av</i>(<i>R,G,B</i>) +255×{<i>G−Av</i>(<i>R,G,B</i>)/{<i>R−Av</i>(<i>R,G,B</i>)}×<i>C′</i> (17)<br /><i>B′=[</i>1−{<i>B−Av</i>(<i>R,G,B</i>)}/{<i>R−Av</i>(<i>R,G,B)</i>)}×<i>C′]×Av</i>(<i>R,G,B</i>) +255 ×{<i>B−Av</i>(<i>R,G,B</i>)}/{<i>R−Av</i>(<i>R,G,B</i>)}×<i>C′</i> (18)<br /> When Max(R,G,B)=G, <br />R′=[1−{<i>R−Av</i>(<i>R,G,B</i>)}/{<i>G−Av</i>(<i>R,G,B</i>)}×<i>C′]×Av</i>(<i>R,G,B</i>) +255×{<i>R−Av</i>(<i>R,G,B</i>)/{<i>G−Av</i>(<i>R,G,B</i>)}×<i>C ′</i> (19)<br /><i>G</i>′=(1−<i>C′</i>)×<i>Av</i>(<i>R,G,B</i>)+255×<i>C′</i> (20)<br /><i>B′=[</i>1−{<i>B−Av</i>(<i>R,G,B</i>)}/{<i>G−Av</i>(<i>R,G,B</i><i>)}×</i><i>C′]×Av</i>(<i>R,G,B</i>) +25×{<i>B−Av</i>(<i>R,G,B</i>)/{<i>G−Av</i>(<i>R,G,B</i>)}×<i>C′</i> (21)<br /> When Max(R,G,B)=B, <br /><i>R′=[</i>1−{<i>R−Av</i>(<i>R,G,B</i>)}/{<i>B−Av</i>(<i>R,G,B</i>)}×<i>C′]×Av</i>(<i>R,G,B</i>) +255×{<i>R−Av</i>(<i>R,G,B</i>)/{<i>B−Av</i>(<i>R,G,B</i>)}×<i>C′</i> (22)<br /><i>G′=[</i>1−{<i>G−Av</i>(<i>R,G,B</i>)}/{<i>B−Av</i>(<i>R,G,B</i>)}×<i>C′]×Av</i>(<i>R,G,B</i>) +255×{<i>G−Av</i>(<i>R,G,B</i>)/{<i>B−Av</i>(<i>R,G,B</i>)}×<i>C′</i> (23)<br /><i>B</i>′=(1−<i>C′</i>)×<i>Av</i>(<i>R,G,B</i>)+255×<i>C′</i> (24)
0102As described above, there are six sets of equations of conversion. Which set should be used is determined based on the variable f, which is detected when saturation detecting means <b>200</b> detects the saturation.
0103The above method is one example of the saturation calculating method of the pixel, saturation conversion may also be implemented based on the saturation determined by another calculation method. As other examples of saturation calculating methods, L*a*b* values defined by CIE1976 are calculated from the RGB values and the saturation defined in the L*a*b* uniform color space is calculated. Alternatively, the saturation defined in the L*u*v* uniform color space defined by CIE1976 may be calculated in the same manner. Alternatively, a ROM table may be provided so as to previously store therein saturation data for input RGB values, so that a corresponding saturation value can be read out from the ROM table every time the RGB signal of the pixel is input, whereby saturation conversion may be implemented based on this saturation value.
0104In the color image processor <b>100</b> according to the first embodiment, saturation detecting means <b>200</b> determines the saturation at the pixel/coordinate point first, based on the RGB signal of each pixel/coordinate point. Then, based on the determined saturation, saturation conversion control means <b>300</b> calculates the saturation C′ after conversion and passes it to saturation conversion processing means <b>400</b>. Saturation conversion processing means <b>400</b>, based on the input RGB signal and the noticed saturation C′ after conversion, appropriately converts the RGB signal and outputs the result to a display <b>8</b> such as a display monitor.
0000The second embodiment
0105Next, a color image processor and a color image processing method according to the second embodiment of the present invention will be described.
0106<figref idref="DRAWINGS">FIG. 16</figref> is a block diagram showing an overall configuration of a color image processor according to the second embodiment of the present invention.
0107The color image processor <b>105</b> according to the second embodiment includes: as shown in <figref idref="DRAWINGS">FIG. 16</figref>, a saturation detecting means <b>200</b>, a saturation conversion control means <b>302</b> and a saturation conversion processing means <b>400</b>.
0108The saturation detecting means <b>200</b> and saturation conversion processing means <b>400</b> operate in the same manner as that of the first embodiment described with reference to <figref idref="DRAWINGS">FIG. 6</figref>.
0109Saturation conversion control means <b>302</b>, based on the saturation C given from saturation detecting means <b>200</b> and a predetermined threshold α, calculates the value of saturation C′ after conversion and passes it to saturation conversion processing means <b>400</b>. The saturation C before conversion and the saturation C′ after conversion are related by the equation (4), and the function for conversion F(x) is represented in the form of the following equation (6), for example, depending on the threshold α: <br /><i>F</i>(<i>x</i>)=−<i>x</i><sup>3</sup>+(1+α)<i>x</i><sup>2</sup>+(1−α)<i>x </i> (6)
0110<figref idref="DRAWINGS">FIG. 11</figref> shows a graph relating to equation (6).
0111Similarly to the case of equation (5), saturation conversion control means <b>300</b> can be easily realized by hardware or software.
0112The converting equation F(x) used in saturation conversion control means <b>302</b> does not need to take the form of equation (6) as long as conversion is implemented so that C′>C for the areas where the saturation is higher than the threshold and C′≦C for the areas where the saturation is lower than the threshold. Further, saturation conversion control means <b>302</b> does not perform any particular process over the variable f that is noticed from saturation detecting means <b>200</b> but simply outputs it to saturation conversion processing means <b>400</b> as it is.
0113In the color image processor <b>105</b> according to the second embodiment, saturation detecting means <b>200</b> determines the saturation at the pixel/coordinate point first, based on the RGB signal for each pixel/coordinate point. Then, based on the determined saturation, saturation conversion control means <b>302</b> calculates the saturation C′ after conversion and passes it to saturation conversion processing means <b>400</b>. Saturation conversion processing means <b>400</b>, based on the input RGB signal and the noticed saturation C′ after conversion, appropriately converts the RGB signal and outputs the result to a display <b>8</b> such as a display monitor.
0000The third embodiment
0114Next, a color image processor and a color image processing method according to the third embodiment of the present invention will be described.
0115<figref idref="DRAWINGS">FIG. 7</figref> is a block diagram showing an overall configuration of a color image processor according to the third embodiment of the present invention.
0116The color image processor <b>101</b> according to the third embodiment includes: as shown in <figref idref="DRAWINGS">FIG. 7</figref>, a saturation detecting means <b>200</b>, a saturation conversion control means <b>301</b>, a saturation conversion processing means <b>400</b> and a threshold designating means <b>500</b>.
0117The saturation detecting means <b>200</b> and saturation conversion processing means <b>400</b> operate in the same manner as that of the first embodiment described with reference to <figref idref="DRAWINGS">FIG. 6</figref>.
0118Threshold designating means <b>500</b> may be constituted of, for example, a dedicated numeral input device such as numeral keys, a multi-purpose input device such as PC keyboard. When the user inputs the desired threshold, the threshold designating means <b>500</b> gives notice of the input threshold to saturation conversion control means <b>301</b>.
0119Saturation conversion control means <b>301</b>, based on the user's desired threshold a noticed from threshold designating means <b>500</b>, performs saturation conversion shown by equations (4) and (5). The saturation C′ after conversion is passed to saturation conversion processing means <b>400</b>.
0120In the color image processor <b>105</b> according to the third embodiment, the user designates the desired saturation threshold through threshold designating means <b>500</b>, first. Then, saturation detecting means <b>200</b> determines the saturation at the pixel/coordinate, based on the input RGB signal for each pixel/coordinate point. Next, based on the determined saturation and the threshold designated by the user, saturation conversion control means <b>301</b> calculates the saturation C′ after conversion and passes it to saturation conversion processing means <b>400</b>. Saturation conversion processing means <b>400</b>, based on the input RGB signal and the noticed saturation C′ after conversion, appropriately converts the RGB signal and outputs the result to a display <b>8</b> such as a display monitor.
0000The fourth embodiment
0121Next, a color image processor and a color image processing method according to the fourth embodiment of the present invention will be described.
0122<figref idref="DRAWINGS">FIG. 17</figref> is a block diagram showing an overall configuration of a color image processor according to the fourth embodiment of the present invention.
0123The color image processor <b>106</b> according to the fourth embodiment includes: as shown in <figref idref="DRAWINGS">FIG. 17</figref>, a saturation detecting means <b>200</b>, a saturation conversion control means <b>303</b>, a saturation conversion processing means <b>400</b> and a threshold designating means <b>500</b>.
0124The saturation detecting means <b>200</b> and saturation conversion processing means <b>400</b> operate in the same manner as that of the first embodiment described with reference to <figref idref="DRAWINGS">FIG. 6</figref>.
0125Threshold designating means <b>500</b> may be constituted of, for example, a dedicated numeral input device such as numeral keys, a multi-purpose input device such as PC keyboard. When the user inputs the desired threshold, the threshold designating means <b>500</b> gives notice of the input threshold to saturation conversion control means <b>303</b>.
0126Saturation conversion control means <b>303</b>, based on the user's desired threshold α noticed from threshold designating means <b>500</b>, performs saturation conversion shown by equations (4) and (6). The saturation C′ after conversion is passed to saturation conversion processing means <b>400</b>.
0127In the color image processor <b>106</b> according to the fourth embodiment, the user designates a desired threshold through threshold designating means <b>500</b>, first. Then, saturation detecting means <b>200</b> determines the saturation at the pixel/coordinate, based on the input RGB signal for each pixel/coordinate point. Next, based on the determined saturation and the threshold designated by the user, saturation conversion control means <b>303</b> calculates the saturation C′ after conversion and passes it to saturation conversion processing means <b>400</b>. Saturation conversion processing means <b>400</b>, based on the input RGB signal and the noticed saturation C′ after conversion, appropriately converts the RGB signal and outputs the result to a display <b>8</b> such as a display monitor.
0000The fifth embodiment
0128Next, a color image processor and a color image processing method according to the fifth embodiment of the present invention will be described.
0129<figref idref="DRAWINGS">FIG. 8</figref> is a block diagram showing an overall configuration of a color image processor according to the fifth embodiment of the present invention.
0130The color image processor <b>102</b> according to the fifth embodiment includes: as shown in <figref idref="DRAWINGS">FIG. 8</figref>, a saturation detecting means <b>200</b>, a saturation conversion control means <b>301</b>, a saturation conversion processing means <b>400</b>, a threshold determining means <b>600</b> and a buffer <b>700</b>.
0131The saturation detecting means <b>200</b> and saturation conversion processing means <b>400</b> operate in the same manner as that of the first embodiment described with reference to <figref idref="DRAWINGS">FIG. 6</figref>. The saturation conversion control means <b>301</b> operates in the same manner as that of the third embodiment described with reference to <figref idref="DRAWINGS">FIG. 7</figref>.
0132The saturation C and variable f, detected by saturation detecting means <b>200</b>, are once stored into buffer <b>700</b> and at the same time passed to threshold determining means <b>600</b>.
0133Threshold determining means <b>600</b> determines the mean value of the saturations C of the predetermined area noticed from saturation detecting means <b>200</b> and gives notice of it as the threshold α to saturation conversion control means <b>301</b>.
0134Saturation conversion control means <b>301</b>, based on the noticed threshold α and the saturation C read out from buffer <b>700</b>, performs saturation conversion and gives notice of the saturation C′ after conversion to saturation conversion processing means <b>400</b>.
0135Saturation conversion processing means <b>400</b>, based on the RGB signal read from buffer <b>700</b> and the noticed saturation C′ after conversion, appropriately converts the RGB signal and outputs the result to a display <b>8</b> such as a display monitor.
0136In the color image processor <b>102</b> according to the fifth embodiment, saturation detecting means <b>200</b> detects saturation C of the RGB signal, input successively for each pixel/coordinate point from saturation detecting means <b>200</b>, first, and stores it together with the RGB signal into buffer <b>700</b> and gives notice of the saturation C to threshold determining means <b>600</b>. When input of the RGB signal and detection of saturation is complete for a predetermined area so that the RGB signal and saturations for the predetermined area are accumulated into buffer <b>700</b>, threshold determining means <b>600</b> calculates the mean value of noticed saturations C and gives notice of it as the threshold α to saturation conversion control means <b>301</b>.
0137Saturation conversion control means <b>301</b> calculates the saturation C′ after conversion based on the noticed threshold α and passes it to saturation conversion processing means <b>400</b>.
0138Saturation conversion processing means <b>400</b>, based on the input RGB signal and the noticed saturation C′ after conversion, appropriately converts the RGB signal and outputs the result to a display <b>8</b> such as a display monitor.
0139Further, in the fifth embodiment, the saturation conversion control means <b>303</b> used in the above fourth embodiment can also be used in place of the saturation conversion control means <b>301</b>. Use of the saturation conversion control means <b>303</b> emphasizes the pixels having a saturation higher than the threshold α and improves saturation contrast.
0000The sixth embodiment
0140Next, a color image processor and a color image processing method according to the sixth embodiment of the present invention will be described.
0141<figref idref="DRAWINGS">FIG. 9</figref> is a block diagram showing an overall configuration of a color image processor according to the sixth embodiment of the present invention.
0142The color image processor <b>103</b> according to the sixth embodiment includes: as shown in <figref idref="DRAWINGS">FIG. 9</figref>, a saturation detecting means <b>200</b>, a saturation conversion control means <b>301</b>, a saturation conversion processing means <b>400</b>, a threshold determining means <b>601</b>, a buffer <b>700</b> and a pixel/coordinate point count designating means <b>501</b>.
0143The saturation detecting means <b>200</b> and saturation conversion processing means <b>400</b> operate in the same manner as that of the first embodiment described with reference to <figref idref="DRAWINGS">FIG. 6</figref>. The saturation conversion control means <b>301</b> operates in the same manner as that of the third embodiment described with reference to <figref idref="DRAWINGS">FIG. 7</figref>. Further, data accumulated in buffer <b>700</b> includes the RGB signal, saturation information for each pixel/coordinate point and variable f used in saturation conversion, as in the case of the fifth embodiment described with reference to <figref idref="DRAWINGS">FIG. 8</figref>.
0144Pixel/coordinate point count designating means <b>501</b> may be constituted of, for example, a dedicated numeral input device such as numeral keys, a multi-purpose input device such as PC keyboard. The user inputs the pixel/coordinate point count k for determining a threshold through the pixel/coordinate point count designating means <b>501</b>. The pixel/coordinate point count designating means <b>501</b> gives notice of the input pixel/coordinate point count k to threshold determining means <b>601</b>.
0145Threshold determining means <b>601</b> determines the threshold based on the noticed pixel/coordinate point count k and the saturation C at each pixel/coordinate point noticed from saturation detecting means <b>200</b>. The method for determining the threshold is that, for example, the value of saturation of a pixel/coordinate point which has the k-th lowest saturation may be set as the threshold and passed to saturation conversion control means <b>301</b>. In other words, saturation suppression or saturation enhancement is applied only to the designated number of pixels/coordinate points.
0146In the color image processor <b>103</b> according to the sixth embodiment, the user first designates the number k of pixels/coordinate points to be reduced or enhanced in saturation through pixel/coordinate point count designating means <b>501</b>. Then, saturation detecting means <b>200</b> detects saturation C of the RGB signal, input successively for each pixel/coordinate point from saturation detecting means <b>200</b>, and stores it together with the RGB signal into buffer <b>700</b> and gives notice of the saturation C to threshold determining means <b>601</b>. When input of the RGB signal and detection of saturation is complete for a predetermined area so that the RGB signal and saturations for the predetermined area are accumulated into buffer <b>700</b>, threshold determining means <b>601</b> determines the threshold α based on the noticed saturation C and the pixel/coordinate point count k designated by the user and passes it to saturation conversion control means <b>301</b>.
0147The saturation conversion control means <b>301</b> calculates the saturation C′ after conversion based on the noticed threshold α and sends it to saturation conversion processing means <b>400</b>.
0148Saturation conversion processing means <b>400</b>, based on the input RGB signal and the noticed saturation C′ after conversion, appropriately converts the RGB signal and outputs the result to a display <b>8</b> such as a display monitor.
0149Further, in the sixth embodiment, the saturation conversion control means <b>303</b> used in the above fourth embodiment can also be used in place of the saturation conversion control means <b>301</b>. Use of the saturation conversion control means <b>303</b> emphasizes the pixels having a saturation higher than the threshold α and improves saturation contrast.
0000The seventh embodiment
0150Next, a color image processor and a color image processing method according to the seventh embodiment of the present invention will be described.
0151<figref idref="DRAWINGS">FIG. 10</figref> is a block diagram showing an overall configuration of a color image processor according to the seventh embodiment of the present invention.
0152The color image processor <b>104</b> according to the seventh embodiment includes: as shown in <figref idref="DRAWINGS">FIG. 10</figref>, a saturation detecting means <b>200</b>, a saturation conversion control means <b>301</b>, a saturation conversion processing means <b>400</b>, a threshold determining means <b>602</b>, a buffer <b>700</b> and a pixel/coordinate point ratio designating means <b>502</b>.
0153The saturation detecting means <b>200</b> and saturation conversion processing means <b>400</b> operate in the same manner as that of the first embodiment described with reference to <figref idref="DRAWINGS">FIG. 6</figref>. The saturation conversion control means <b>301</b> operates in the same manner as that of the third embodiment described with reference to <figref idref="DRAWINGS">FIG. 7</figref>. Further, data accumulated in buffer <b>700</b> includes the RGB signal, saturation information for each pixel/coordinate point and variable f used in saturation conversion, as in the case of the fifth embodiment described with reference to <figref idref="DRAWINGS">FIG. 8</figref>.
0154Pixel/coordinate point ratio designating means <b>502</b> may be constituted of, for example, a dedicated numeral input device such as numeral keys, a multi-purpose input device such as PC keyboard. The user inputs the pixel/coordinate point ratio p for determining a threshold through the pixel/coordinate point ratio designating means <b>502</b>. The pixel/coordinate point ratio designating means <b>502</b> gives notice of the input pixel/coordinate point ratio p to threshold determining means <b>602</b>.
0155Threshold determining means <b>602</b> determines the threshold based on the noticed pixel/coordinate point ratio p and the saturation C for each pixel/coordinate point, noticed from saturation detecting means <b>200</b>. The method of determining the threshold is that, for example, if the number of pixels/coordinate points of an entire predetermined area is assumed to be k, the value of saturation of a pixel/coordinate point which has the (k×p)-th lowest saturation may be set as the threshold and passed to saturation conversion control means <b>301</b>. In other words, saturation suppression or saturation enhancement is applied only to the pixels/coordinate points of the designated ratio.
0156In the color image processor <b>104</b> according to the seventh embodiment, the user first designates the ratio p of pixels/coordinate points to be reduced or enhanced in saturation through pixel/coordinate point count designating means <b>502</b>. Then, the color image processor <b>104</b> detects saturation C of the RGB signal, input successively for each pixel/coordinate point from saturation detecting means <b>200</b>, and stores it together with the RGB signal into buffer <b>700</b> and gives notice of the saturation C to threshold determining means <b>602</b>. When input of the RGB signal and detection of saturation is complete for a predetermined area so that the RGB signal and saturations for the predetermined area are accumulated into buffer <b>700</b>, threshold determining means <b>602</b> determines the threshold α based on the noticed saturation C and the pixel/coordinate point ratio p designated by the user and notices the result to saturation conversion control means <b>301</b>.
0157The saturation conversion control means <b>301</b> calculates the saturation C′ after conversion based on the noticed threshold α and sends it to saturation conversion processing means <b>400</b>.
0158Saturation conversion processing means <b>400</b>, based on the input RGB signal and the noticed saturation C′ after conversion, appropriately converts the RGB signal and outputs the result to a display <b>8</b> such as a display.
0159Further, in the seventh embodiment, the saturation conversion control means <b>303</b> used in the above fourth embodiment can also be used in place of the saturation conversion control means <b>301</b>. Use of the saturation conversion control means <b>303</b> emphasizes the pixels having a saturation higher than the threshold α and improves saturation contrast.
0000The eighth embodiment
0160Next, a color image processor and a color image processing method according to the eighth embodiment of the present invention will be described.
0161<figref idref="DRAWINGS">FIG. 18</figref> is a schematic diagram showing an overall configuration of a color image processor according to the eighth embodiment of the present invention.
0162The color image processor and color image processing method according to the eighth embodiment are realized by installing software into a computer. Specifically, the computer program for realizing the color image processor and color image processing method according to each of the above embodiments is stored on a storage medium or distributed via electric communication lines such as internet, satellite communication lines, or the like. This computer program is installed into a personal computer etc., which is used domestically or in other ways, so that the personal computer will function as the color image processor of the present invention and realize the color image processing method of the present invention.
0163The color image processor according to the eighth embodiment is configured as shown in <figref idref="DRAWINGS">FIG. 18</figref> so that image data input through an image input device such as a scanner <b>17</b>, digital camera <b>18</b> and video camera <b>20</b>, image data transmitted via a network <b>16</b>, or image data stored in an external storage device such as a hard disk storage device <b>13</b>, CD-ROM <b>12</b>, floppy disk <b>21</b>, is converted as to saturation using a personal computer <b>10</b> and the thus converted image data is output from a display <b>14</b> or printer <b>19</b>. User input in the above third, fourth, sixth and seventh embodiments is realized by a keyboard <b>11</b> or mouse <b>15</b>.
0000The ninth embodiment
0164Next, a color display according to the ninth embodiment of the present invention will be described.
0165<figref idref="DRAWINGS">FIG. 21</figref> is a view showing an overall configuration of a color display according to the ninth embodiment of the present invention.
0166A color display <b>800</b> according to the ninth embodiment includes: as shown in <figref idref="DRAWINGS">FIG. 21</figref>, a color image processor <b>100</b>; a liquid crystal panel control means <b>22</b>; a light-guiding plate <b>23</b>; a polarizer <b>24</b>; a liquid crystal panel <b>25</b>; a color filter <b>26</b>; an optical film <b>27</b>; a polarizer <b>28</b>; and an LED <b>29</b>.
0167<figref idref="DRAWINGS">FIG. 23</figref> is a functional block diagram showing the color display according to the embodiment of the present invention.
0168In <figref idref="DRAWINGS">FIG. 23</figref>, a timing controller <b>22</b><i>a</i>, a gate driver <b>22</b><i>b</i>, a source driver <b>22</b><i>c </i>correspond to the liquid crystal panel control means <b>22</b> in <figref idref="DRAWINGS">FIG. 21</figref>. The gray scale level is controlled for every pixel of liquid crystal panel <b>25</b> by controlling the applied voltages to gate driver <b>22</b><i>b</i>, and source driver <b>22</b><i>c</i>, while synchronizing them for every frame by timing controller <b>22</b><i>a. </i>
0169In <figref idref="DRAWINGS">FIG. 23</figref>, a red LED <b>29</b><i>a</i>, a green LED <b>29</b><i>b</i>, a blue LED <b>29</b><i>c </i>and an LED control means <b>29</b><i>d </i>correspond to the LED <b>29</b> in <figref idref="DRAWINGS">FIG. 21</figref>. In the configuration shown in <figref idref="DRAWINGS">FIG. 21</figref>, all the LEDs and the control means are shown integrally as LED <b>29</b> for easy understanding. Liquid crystal panel control means <b>22</b>, based on the RGB signal input from color image processor <b>100</b>, controls the amount of light transmission through each pixel of the liquid crystal panel. In a case where RGB signal values are specified from 0 to 255, if, for example, a R-signal value of 127 is input to a particular pixel, liquid crystal panel control means <b>22</b> applies a voltage to the corresponding pixel on liquid crystal panel <b>25</b> so that 50% of the light that can transmit when no voltage is applied passes therethrough.
0170Light guiding plate <b>23</b> is to guide light emitted from LED <b>29</b> uniformly to the entire backside of the lamination of polarizer <b>24</b>, liquid crystal panel <b>25</b>, color filter <b>26</b>, optical film <b>27</b> and polarizer <b>28</b>.
0171Color filter <b>26</b> is a color filter optimized as to transmission spectrum for high color reproduction. In color filter <b>26</b>, the wavelength ranges where transmittance is high approximately coincide with the peak wavelengths of LED <b>29</b>. Therefore, color display <b>800</b> presents a broader color reproducible range in the chromaticity diagram than conventional transmission type displays do, as shown in <figref idref="DRAWINGS">FIG. 19</figref>.
0172The operation of color image processor <b>100</b> is the same as that of the first embodiment described with reference to <figref idref="DRAWINGS">FIG. 6</figref>.
0173In color display <b>800</b> according to the ninth embodiment, when the input RGB signal presents low saturation, color image processor <b>100</b> first converts the RGB signal so as to further reduce the saturation. Liquid crystal panel control means <b>22</b> controls light transmittance of each pixel of liquid crystal panel <b>25</b> in accordance with the RGB signal after conversion.
0174As shown in this configuration, combination of a color display having a broad color reproduction range with a color image processor which further reduces the saturation of areas with low saturations, makes it possible to display more vivid and highly-saturated colors for only the areas with high saturations while suppressing the saturation of medium color to much the same level as conventional color displays.
0175<figref idref="DRAWINGS">FIG. 22</figref> shows examples of the relationship between gray scale level and saturation. In <figref idref="DRAWINGS">FIG. 22</figref>, the broken line indicates change in saturation, normalized by making the maximum equal to 1, when the gray scale level of one color of RGB is varied from 0 to 255, i.e., the maximum level. The solid line indicates change in saturation in a high color reproduction display. The thick line shows change in saturation in color display <b>800</b> according to the ninth embodiment. According to color display <b>800</b> of the ninth embodiment, the saturation in the range where gray scale level and saturation are low is suppressed almost equivalent to the conventional transmission type color display, in contrast to the high-color reproduction color display having no color image processor <b>100</b>.
0176Further, in the ninth embodiment, any of color image processors <b>101</b> to <b>106</b> used in the above second to seventh embodiments can be used in place of color image processor <b>100</b>.
0177The color image processing method, color image processor, color display device and a computer program for implementing the color image processing method are suitable for color facsimile machines, color copiers and the like, which detect saturation at every pixel and implement saturation suppress control over areas having low saturations, so as to produce improved color images enhanced in feeling of depth and feeling of sharpness.
Contents4
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Priority claims9
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Numbers
- Publication
- 07286702
- Publication, DOCDB
- 7286702
- Publication, EPODOC
- US7286702
- Application
- 10494056
- Application, DOCDB
- 49405604
- Application, EPODOC
- US20040494056
Titles
- English
- Color image processing method, color image processor, color display, computer program for implementing the color image processing method
Patent term adjustment
- A delay
- +719 daysthe office missed an examination deadline
- Net adjustment
- 719 days
Classification
- CPC, 3
- H04N1/6005
- G09G5/02
- H04N1/6027
- IPC, 3
- G06K9 00
- G09G5 02
- H04N1 60
- USPC, 4
- 382167000
- 382162000
- 382163000
- 382166000